Provable Meta-Learning of Linear Representations

26 February 2020

Papers citing "Provable Meta-Learning of Linear Representations"

36 / 36 papers shown

Title
FloE: On-the-Fly MoE Inference on Memory-constrained GPU Yuxin Zhou Zheng Li J. Zhang Jue Wang Y. Wang Zhongle Xie Ke Chen Lidan Shou MoE 43 0 0 09 May 2025
GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds Aoran Chen Yang Feng 24 0 0 05 May 2025
Transfer Learning for High-dimensional Reduced Rank Time Series Models Mingliang Ma Abolfazl Safikhani AI4TS 38 0 0 22 Apr 2025
Representation Retrieval Learning for Heterogeneous Data Integration Qi Xu Annie Qu 50 0 0 12 Mar 2025
Meta-learning of shared linear representations beyond well-specified linear regression Mathieu Even Laurent Massoulié 42 0 0 31 Jan 2025
Beyond Task Diversity: Provable Representation Transfer for Sequential Multi-Task Linear Bandits Thang Duong Zhi Wang Chicheng Zhang 39 0 0 23 Jan 2025
Deep Transfer Learning: Model Framework and Error Analysis Yuling Jiao Huazhen Lin Yuchen Luo Jerry Zhijian Yang 39 1 0 12 Oct 2024
The Power of Active Multi-Task Learning in Reinforcement Learning from Human Feedback Ruitao Chen Liwei Wang 64 1 0 18 May 2024
Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds Yuyang Zhang Shahriar Talebi Na Li 34 1 0 09 May 2024
Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysis Yufan Li Subhabrata Sen Ben Adlam MLT 41 1 0 18 Apr 2024
An Information-Theoretic Analysis of In-Context Learning Hong Jun Jeon Jason D. Lee Qi Lei Benjamin Van Roy 22 18 0 28 Jan 2024
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 28 4 0 13 May 2023
Classification Tree Pruning Under Covariate Shift Nicholas Galbraith Samory Kpotufe 28 1 0 07 May 2023
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes Charles Riou Pierre Alquier Badr-Eddine Chérief-Abdellatif 33 8 0 23 Feb 2023
Multi-task Representation Learning for Pure Exploration in Linear Bandits Yihan Du Longbo Huang Wen Sun 11 4 0 09 Feb 2023
Multi-Task Imitation Learning for Linear Dynamical Systems Thomas T. Zhang Katie Kang Bruce D. Lee Claire Tomlin Sergey Levine Stephen Tu Nikolai Matni 33 23 0 01 Dec 2022
A picture of the space of typical learnable tasks Rahul Ramesh J. Mao Itay Griniasty Rubing Yang H. Teoh M. Transtrum J. Sethna Pratik Chaudhari SSL DRL 19 4 0 31 Oct 2022
Generalization Properties of Retrieval-based Models Soumya Basu A. S. Rawat Manzil Zaheer 29 6 0 06 Oct 2022
FedDAR: Federated Domain-Aware Representation Learning Aoxiao Zhong Hao He Zhaolin Ren Na Li Quanzheng Li OOD AI4CE 29 9 0 08 Sep 2022
Invariant and Transportable Representations for Anti-Causal Domain Shifts Yibo Jiang Victor Veitch OOD 121 32 0 04 Jul 2022
Global Convergence of Federated Learning for Mixed Regression Lili Su Jiaming Xu Pengkun Yang FedML 25 7 0 15 Jun 2022
Straggler-Resilient Personalized Federated Learning Isidoros Tziotis Zebang Shen Ramtin Pedarsani Hamed Hassani Aryan Mokhtari FedML 22 9 0 05 Jun 2022
MetaNOR: A Meta-Learnt Nonlocal Operator Regression Approach for Metamaterial Modeling Lu Zhang Huaiqian You Yue Yu OffRL 16 7 0 04 Jun 2022
Meta Representation Learning with Contextual Linear Bandits Leonardo Cella Karim Lounici Massimiliano Pontil 26 5 0 30 May 2022
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning Liam Collins Hamed Hassani Aryan Mokhtari Sanjay Shakkottai FedML 24 74 0 27 May 2022
Representation Learning for Context-Dependent Decision-Making Yuzhen Qin Tommaso Menara Samet Oymak ShiNung Ching Fabio Pasqualetti 19 3 0 12 May 2022
Nearly Minimax Algorithms for Linear Bandits with Shared Representation Jiaqi Yang Qi Lei Jason D. Lee S. Du 30 16 0 29 Mar 2022
Non-stationary Bandits and Meta-Learning with a Small Set of Optimal Arms Javad Azizi T. Duong Yasin Abbasi-Yadkori András Gyorgy Claire Vernade Mohammad Ghavamzadeh 18 8 0 25 Feb 2022
Adaptive and Robust Multi-Task Learning Yaqi Duan Kaizheng Wang 73 23 0 10 Feb 2022
Provable Lifelong Learning of Representations Xinyuan Cao Weiyang Liu Santosh Vempala CLL 17 13 0 27 Oct 2021
The Power of Contrast for Feature Learning: A Theoretical Analysis Wenlong Ji Zhun Deng Ryumei Nakada James Y. Zou Linjun Zhang SSL 44 48 0 06 Oct 2021
Adversarial Training Helps Transfer Learning via Better Representations Zhun Deng Linjun Zhang Kailas Vodrahalli Kenji Kawaguchi James Y. Zou GAN 34 52 0 18 Jun 2021
On the Power of Multitask Representation Learning in Linear MDP Rui Lu Gao Huang S. Du 11 28 0 15 Jun 2021
Meta-Adaptive Nonlinear Control: Theory and Algorithms Guanya Shi Kamyar Azizzadenesheli Michael O'Connell Soon-Jo Chung Yisong Yue 16 41 0 11 Jun 2021
Improving Few-Shot Learning through Multi-task Representation Learning Theory Quentin Bouniot I. Redko Romaric Audigier Angélique Loesch Amaury Habrard 37 10 0 05 Oct 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,677 0 09 Mar 2017